نتایج جستجو برای: speaker recognition

تعداد نتایج: 265629  

2008
Chien-Lin Huang Bin Ma Chung-Hsien Wu Brian Kan-Wing Mak Haizhou Li

This study presents a novel approach of feature analysis to speaker verification. There are two main contributions in this paper. First, the feature analysis of short-time frequency with long-time window (SFLW) is a compact feature for the efficiency of speaker verification. The purpose of SFLW is to take account of short-time frequency characteristics and longtime resolution at the same time. ...

2006
Carlos E. Vivaracho

This paper shows a description of the system used in the ISCSLP06 Speaker Recognition Evaluation, text independent cross-channel speaker verification task. It is a discriminative Artificial Neural Networkbased system, using the Non-Target Incremental Learning method to select world representatives. Two different training strategies have been followed: (i) to use world representative samples wit...

2011
Lara Lynn Stoll Michael Jordan John J. Ohala

Finding Difficult Speakers in Automatic Speaker Recognition

2005
Yee W. Lau Dat Tran Michael Wagner

The aim of this paper is to determine how vulnerable a speaker verification system is to conscious effort by impostors to mimic a client of the system. The paper explores systematically how much closer an impostor can get to another speaker’s voice by repeated attempts. Experiments on 138 speakers in the YOHO database and six people who played a role as imitators showed a fact that professional...

1998
Masafumi Nishida Yasuo Ariki

In this paper, we propose a method to extract and verify individual speaker utterance using a subspace method. This method can extract speech section of the same speaker by repeating speaker verification between the present speech section and the immediately previous speech section. The speaker models are automatically trained in the verification process without constructing speaker templates i...

2008
Elizabeth Shriberg Martin Graciarena Harry Bratt Andreas Kathol Sachin S. Kajarekar Huda Jameel Colleen Richey Fred Goodman

We study the question of how intrinsic variations (associated with the speaker rather than the recording environment) affect text-independent speaker verification performance. Experiments using the SRI-FRTIV corpus, which systematically varies both vocal effort and speaking style, reveal that (1) “furtive” speech poses a significant challenge; (2) conversations and interviews, despite stylistic...

2015
Lieke van Maastricht Emiel Krahmer Marc Swerts

This paper describes the effect of deviance in focus marking by means of pitch accent distributions in Dutch on L1 perceptions of accentedness, nativeness and comprehensibility in L1 and L2 speech. On a rating task Dutch natives demonstrate that they have unambiguous intuitions concerning L2 speech by Spanish learners of Dutch by categorically rating it as more accented, more difficult to compr...

2013
Rahim Saeidi Kong-Aik Lee Tomi Kinnunen Tawfik Hasan Benoit G. B. Fauve Pierre-Michel Bousquet Elie el Khoury Pablo Luis Sordo Martinez Jia Min Karen Kua Chang Huai You Hanwu Sun Anthony Larcher Padmanabhan Rajan Ville Hautamäki Cemal Hanilçi Billy Braithwaite Rosa González Hautamäki Seyed Omid Sadjadi Gang Liu Hynek Boril Navid Shokouhi Driss Matrouf Laurent El Shafey Pejman Mowlaee Begzade Mahale Julien Epps Tharmarajah Thiruvaran David A. van Leeuwen Bin Ma Haizhou Li John H. L. Hansen Jean-François Bonastre Sébastien Marcel John S. D. Mason Eliathamby Ambikairajah

I4U is a joint entry of nine research Institutes and Universities across 4 continents to NIST SRE 2012. It started with a brief discussion during the Odyssey 2012 workshop in Singapore. An online discussion group was soon set up, providing a discussion platform for different issues surrounding NIST SRE’12. Noisy test segments, uneven multi-session training, variable enrollment duration, and the...

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